1 to 25 of 753 Remote SQL Jobs in London

management software (Jira). • Experience creating BI models and dashboards, ideally in Power BI. • Excellent verbal and written communication skills Technical Skills: • Familiarity with SQL Server. • Advanced SQL scripting. • Familiarity with ETL/ELT tools and experience navigating data pipelines. • Experience using scripting languages (e.g. Python, PowerShell etc.) to extract … processes (e.g SSIS, Data Factory, Alteryx) • Power BI Development including the data model, DAX, and visualizations. • Relational and Dimensional (Kimball) data modelling • Proficiency in SQL (T-SQL, PL/SQL, Databricks SQL) Desirable: • Databricks (or Alternative Modern Data Platform such as Snowflake) • Experience working in a regulated environment and knowledge … of the risk and compliance requirements associated with this. • Oracle Database • MongoDB • Cloud Data Technologies (Mainly Azure - SQL Database, Data Lake, HD Insight, Data Factory etc.) • A collaborative team player, approachable, self-efficient and influences a positive work environment • Demonstrates curiosity • Resilient in a challenging, fast-paced environment • Excels at More ❯

deploying production-grade Python software. 3+ years of experience with Python and high-performance data libraries such as Polars and Pandas. Proficiency with JavaScript, SQL, and KQL. Experience with Extract, Transform, Load (ETL), Data Streaming, and Reconciliation. Experience building and maintaining deployment pipelines, including DevOps tools like Ansible, and containerization More ❯

with Python, preferably PySpark. Excellent communication and stakeholder management abilities. Strong expertise in Azure (AWS considered for a strong candidate): ADLS, Databricks, Stream Analytics, SQL DW, Synapse, Databricks, Azure Functions, Serverless Architecture, ARM Templates, DevOps. Hands-on experience with ETL/ELT processes and data warehousing. Solid understanding of data More ❯

Qualifications Bachelor's degree in computer science, engineering or related field. Minimum of 3 years of experience in data engineering roles. Strong proficiency in SQL, ETL processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3 More ❯

Systems, or other equivalent. Experienced in data analysis, BI, or a related area. Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL for data querying. Proficiency in Microsoft Excel for data manipulation and reporting. Solid ability to analyse and interpret data, with keen attention to detail. Basic More ❯

ABOUT YOU Minimum of 4-5 years within a Finance/Data Analytics role Fully qualified CIMA/ACCA/ACA Highly proficient in SQL (preferably PostgreSQL) Strong Power BI experience Proven experience in data modeling and building analytical tools from scratch. A natural curiosity to learn and a 'can More ❯

years of data engineering experience, with a proven track record of designing, building, and maintaining scalable data pipelines and ETL processes. Proficiency in SQL and experience working with relational and non-relational databases (e.g. Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies such as Apache More ❯

including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured More ❯

data modeling Hands-on experience with cloud-native data tech (preferably AWS: Redshift, Glue, S3, Lambda, IAM, Terraform, GitHub, CI/CD) Proficiency in SQL and Python for data processing and automation Experience working with data modeling tools and practices (e.g., dimensional, star/snowflake schema, dbt) Solid understanding of More ❯

/Experience (Essential): Prior experience in supporting Front Office trading booking and Risk systems. Working knowledge of Oracle SQL. (Able to build ad hoc SQL queries) Prior experience with UNIX plus an ability to navigate the system and core administration functions. (Able to navigate the system and write shell scripting More ❯

Science, Information Technology, or related field. Proven experience in developing solutions with Power BI, Power Apps, and Power Automate. Strong understanding of data modelling, SQL, and data warehousing principles. Familiarity with Microsoft 365 and Azure services. Certifications in Microsoft Power Platform or related areas. Experience with AI Builder and other More ❯

Science, Information Technology, or related field. Proven experience in developing solutions with Power BI, Power Apps, and Power Automate. Strong understanding of data modelling, SQL, and data warehousing principles. Familiarity with Microsoft 365 and Azure services. Certifications in Microsoft Power Platform or related areas. Experience with AI Builder and other More ❯

Science, Information Technology, or related field. Proven experience in developing solutions with Power BI, Power Apps, and Power Automate. Strong understanding of data modelling, SQL, and data warehousing principles. Familiarity with Microsoft 365 and Azure services. Certifications in Microsoft Power Platform or related areas. Experience with AI Builder and other More ❯

CRM capabilities, extensibilities, and solution design. Experience in Power Platform development (Power Apps, Dataverse, Power Automate). Proficiency in .NET Framework (4.5+), Web API, SQL Server (SSRS, FetchXML). Hands-on experience with C#, JavaScript, HTML, CSS, JSON, XML, and SQL. Desirable Skills & Experience: Knowledge of Microsoft Azure. Experience with More ❯

ELT ingestion pipeline with tools like DataStage, Informatica, Matillion, DBT. Understanding of Snowflake roles and user security Understanding of Snowflake capabilities like Snowpipe, etc. SQL scripting Cloud experience on AWS (Azure, GCP are nice to have as well) Python Scripting is a plus Hakkoda is an exciting, high growth company More ❯

Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology More ❯

with a strong focus on core banking data. Proven experience working with large and complex datasets, including data extraction, cleaning, transformation, and analysis. Strong SQL skills and experience working with relational databases. Solid understanding of data warehousing concepts and principles. Experience with ER modeling and data modeling tools. Knowledge of More ❯

ensuring solutions deliver tangible business outcomes. Proven experience of building and deploying scalable predictive/ML solutions that deliver measurable business value. Proficiency in SQL and Python/R is essential. Hands-on experience with Databricks and Power BI is desirable. Familiarity with agile methodologies and tools (e.g., Jira, Azure More ❯

of AI-driven strategies across BIC operations. Identify opportunities for AI integration to enhance BIC research processes. Use advanced analytics tools (e.g., Python, R, SQL, Tableau, Power BI) to analyse, visualize, and interpret data. Support efforts to continuously innovate and improve analytical processes using ML, ensuring the delivery of high More ❯

scalability. Share knowledge across teams and contribute to a culture of data-driven decision-making. Skills and Qualifications; Essential; Technical and Analytical; Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or More ❯

scalability. Share knowledge across teams and contribute to a culture of data-driven decision-making. Skills and Qualifications; Essential; Technical and Analytical; Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or More ❯

with deep experience in software integration and workflow automation, particularly in Sales, Customer Success, and Finance technology stacks Expert-level skills in Python and SQL (Bonus: Java) Deep understanding of marketing automation platforms (e.g., Marketo) and related technologies ex: Sales Cloud Experience with containerization technologies, including Kubernetes and Docker, and More ❯

data analysis, extraction, transformation, and loading, data intelligence, data security and proven experience in their technologies (e.g. Spark, cloud-based ETL services, Python, Kafka, SQL, Airflow) You have experience in assessing the relevant data quality issues based on data sources & uses cases, and can integrate the relevant data quality checks More ❯

systems. Contribute to a culture of results-driven collaboration, support and respect. What You'll Bring to the Role Approx. 8 years' experience using SQL or Python for data analysis, with about 3 years' experience in P&C insurance. A degree at BSc or MSc level in a Numerical field More ❯

in Microsoft Dynamics 365 development, including customisation, configuration, and integration. Proficiency in Power Platform (PowerApps, Power Automate) and CRM-related development tools. Knowledge of SQL, FetchXML, and data integration techniques. Experience in ASP.NET and .NET development for web applications. Understanding of security best practices and data protection regulations. Excellent communication More ❯